Correction of technical bias in clinical microarray data improves concordance with known biological information

Aron Charles Eklund, Zoltan Imre Szallasi

    Research output: Contribution to journalJournal articleResearchpeer-review

    241 Downloads (Pure)

    Abstract

    The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets and false associations between genes and clinical variables. We developed a method to correct for technical bias in clinical microarray data, which increased concordance with known biological relationships in multiple data sets.
    Original languageEnglish
    JournalGenome Biology
    Volume9
    Issue number2
    Pages (from-to)R26
    ISSN1465-6906
    DOIs
    Publication statusPublished - 2008

    Fingerprint Dive into the research topics of 'Correction of technical bias in clinical microarray data improves concordance with known biological information'. Together they form a unique fingerprint.

    Cite this